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Brian Barr
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 17
Top Topics
Rule Sets
Machine Learning
Tabular Data
Visual Exploration
Top Venues
CoRR
ICAIF
IEEE Trans. Vis. Comput. Graph.
IEEE BigData
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Publications
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Jun Yuan
,
Brian Barr
,
Kyle Overton
,
Enrico Bertini
Visual Exploration of Machine Learning Model Behavior With Hierarchical Surrogate Rule Sets.
IEEE Trans. Vis. Comput. Graph.
30 (2) (2024)
Peter Xenopoulos
,
João Rulff
,
Luis Gustavo Nonato
,
Brian Barr
,
Cláudio T. Silva
Calibrate: Interactive Analysis of Probabilistic Model Output.
IEEE Trans. Vis. Comput. Graph.
29 (1) (2023)
Brian Barr
,
Noah Fatsi
,
Leif Hancox-Li
,
Peter Richter
,
Daniel Proano
,
Caleb Mok
The Disagreement Problem in Faithfulness Metrics.
CoRR
(2023)
Jun Yuan
,
Gromit Yeuk-Yin Chan
,
Brian Barr
,
Kyle Overton
,
Kim Rees
,
Luis Gustavo Nonato
,
Enrico Bertini
,
Cláudio T. Silva
SUBPLEX: A Visual Analytics Approach to Understand Local Model Explanations at the Subpopulation Level.
IEEE Computer Graphics and Applications
42 (6) (2022)
Peter Xenopoulos
,
Gromit Chan
,
Harish Doraiswamy
,
Luis Gustavo Nonato
,
Brian Barr
,
Cláudio T. Silva
GALE: Globally Assessing Local Explanations.
TAG-ML
(2022)
Wei Zhang
,
Brian Barr
,
John Paisley
Understanding Counterfactual Generation using Maximum Mean Discrepancy.
ICAIF
(2022)
Wei Zhang
,
Brian Barr
,
John Paisley
An Interpretable Deep Classifier for Counterfactual Generation.
ICAIF
(2022)
Isha Hameed
,
Samuel Sharpe
,
Daniel Barcklow
,
Justin Au-Yeung
,
Sahil Verma
,
Jocelyn Huang
,
Brian Barr
,
C. Bayan Bruss
BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial Intelligence.
CoRR
(2022)
Peter Xenopoulos
,
Gromit Yeuk-Yin Chan
,
Harish Doraiswamy
,
Luis Gustavo Nonato
,
Brian Barr
,
Cláudio T. Silva
Topological Representations of Local Explanations.
CoRR
(2022)
Peter Xenopoulos
,
João Rulff
,
Luis Gustavo Nonato
,
Brian Barr
,
Cláudio T. Silva
Calibrate: Interactive Analysis of Probabilistic Model Output.
CoRR
(2022)
Jun Yuan
,
Brian Barr
,
Kyle Overton
,
Enrico Bertini
Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets.
CoRR
(2022)
Rathakrishnan Bhaskaran
,
Ramakrishnan Kannan
,
Brian Barr
,
Stephan Priebe
Science-Guided Machine Learning for Wall-Modeled Large Eddy Simulation.
IEEE BigData
(2021)
Brian Barr
,
Matthew R. Harrington
,
Samuel Sharpe
,
C. Bayan Bruss
Counterfactual Explanations via Latent Space Projection and Interpolation.
CoRR
(2021)
Rachana Balasubramanian
,
Samuel Sharpe
,
Brian Barr
,
Jason D. Wittenbach
,
C. Bayan Bruss
Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations.
CoRR
(2020)
Gromit Yeuk-Yin Chan
,
Enrico Bertini
,
Luis Gustavo Nonato
,
Brian Barr
,
Cláudio T. Silva
Melody: Generating and Visualizing Machine Learning Model Summary to Understand Data and Classifiers Together.
CoRR
(2020)
Gromit Yeuk-Yin Chan
,
Jun Yuan
,
Kyle Overton
,
Brian Barr
,
Kim Rees
,
Luis Gustavo Nonato
,
Enrico Bertini
,
Cláudio T. Silva
SUBPLEX: Towards a Better Understanding of Black Box Model Explanations at the Subpopulation Level.
CoRR
(2020)
Brian Barr
,
Ke Xu
,
Cláudio T. Silva
,
Enrico Bertini
,
Robert Reilly
,
C. Bayan Bruss
,
Jason D. Wittenbach
Towards Ground Truth Explainability on Tabular Data.
CoRR
(2020)